Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

mmdetection3d 代码重点注解笔记

YOLO Algorithm (Yolov2 model) trained on COCO Dataset for Object Detection

Explore the Computer Vision Interview Prep repository! This GitHub collection offers interview questions and answers for Data Scientists. Elevate your knowledge of computer vision, confidently tackle technical interviews, and succeed in the dynamic field of data science with a focus on computer vision applications.

Python library for Object Detection metrics.

YOLO version 3 implementation in TensorFlow 2

Custom Dataset Training pipeline using Pytorch and Meta's object detection model DETR.

Object Detection With YOLO

This project demonstrates object detection using YOLOv5. The model is trained on a custom dataset and can detect objects in new images. YOLOv5 is a state-of-the-art object detection model known for its speed and accuracy, making it suitable for real-time applications.

This is a python project that recognizes truck when truck comes at the weighbridge and take the picture and update on the WhatsApp number.

Is there a fish 🐟 or not? Fish Detector App and Model

This project develops a high-precision object detection model for real-time detection, classification, and localization of multiple objects in images and videos. It aims to minimize false positives and negatives, ensuring reliable performance in various applications.

Detecting Dormice in Images Using Object Detection and Transfer Learning

Object Detection Model for Fruits

Object detection model inferencing with DETR

An AI tool that enables the workers to monitor the social distancing in a crowded workplace.